Design Cycle and Deployment Considerations towards Efficient Implementation of Big Data Analytics in the Cloud

Authors

  • Nagaraju Ankathi  Software Developer, Vintech Solutions, Inc, MO, USA
  • Dr. Kameshwar Rao  Professor, Sanskruthi Engineering College, AP, India

Keywords:

Data Mining, Big Data, Cloud Computing

Abstract

Big Data is an information examination procedure that is made possible through the latest advances in details and communication technology. However, huge data examination requires an enormous volume of computing resources, which makes cultivating costs of major data technology not affordable for many small to medium-sized businesses. In this paper, we will detail the benefits as well as the barriers associated with setting up major data analytics through cloud computing. We recommend that cloud computing can help to meet the storage and computer needs of big data analytics. This paper provides a comprehensive overview of cloud computing and the deployment of significant data analytics in the cloud.

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International Journal of Scientific Research in Science and Technology

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Published

2016-01-30

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

License

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How to Cite

[1]
Nagaraju Ankathi, Dr. Kameshwar Rao, " Design Cycle and Deployment Considerations towards Efficient Implementation of Big Data Analytics in the Cloud, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 2, Issue 1, pp.273-281, January-February-2016.